Endurance training alters the biophysical properties of hindlimb motoneurons in rats
Bibliographic record
Abstract
The purpose of the study was to determine the effect of daily endurance treadmill training (2 h/day, 30 m/min) on motoneuron biophysical properties. Electrophysiological properties of tibial motoneurons were measured in situ in anesthetized (ketamine/xylazine) control and trained rats using sharp glass microelectrodes. Motoneurons from trained rats had significantly hyperpolarized resting membrane potentials and spike trigger levels, and faster antidromic spike rise-times. "Fast" motoneurons (after-hyperpolarization half-decay time <20 ms) in trained rats also had a significantly larger mean cell capacitance than those in control rats, suggesting that they were larger, although this had no effect on indices of excitability (rheobase, cell input resistance). Motoneurons are thus targets for activity-induced adaptations, which may have clinical significance for the role of physical activity as a therapeutic modality in cases of neurological deficit. The specific adaptations noted, which reflect alterations in ionic conductances, may serve to offset decreases in membrane excitability that occur during sustained excitation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".